Thinking Mode:
Think about the reasoning process in the mind first, then provide the answer.
The reasoning process should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer.
Merge Method
This model was merged using the Model Stock merge method using Qwen/Qwen2.5-7B-Instruct as a base.
Models Merged
The following models were included in the merge:
- bunnycore/Qwen-2.5-7B-R1-Stock
- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- suayptalha/Clarus-7B-v0.3 + bunnycore/Qwen-2.5-7b-s1k-lora_model
- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview + bunnycore/Qwen-2.5-7b-s1k-lora_model
- bunnycore/QandoraExp-7B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview+bunnycore/Qwen-2.5-7b-s1k-lora_model
parameters:
weight: 0.5
- model: bunnycore/QandoraExp-7B
- model: bunnycore/Qwen-2.5-7B-R1-Stock
- model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- model: suayptalha/Clarus-7B-v0.3+bunnycore/Qwen-2.5-7b-s1k-lora_model
base_model: Qwen/Qwen2.5-7B-Instruct
merge_method: model_stock
parameters:
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-7B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 36.14 |
IFEval (0-Shot) | 75.09 |
BBH (3-Shot) | 36.40 |
MATH Lvl 5 (4-Shot) | 48.94 |
GPQA (0-shot) | 7.16 |
MuSR (0-shot) | 11.69 |
MMLU-PRO (5-shot) | 37.59 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard75.090
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.400
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard48.940
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.160
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.690
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.590